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  2. Apache Kafka - Wikipedia

    en.wikipedia.org/wiki/Apache_Kafka

    Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala.The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.

  3. Observer pattern - Wikipedia

    en.wikipedia.org/wiki/Observer_pattern

    The observer design pattern is a behavioural pattern listed among the 23 well-known "Gang of Four" design patterns that address recurring design challenges in order to design flexible and reusable object-oriented software, yielding objects that are easier to implement, change, test and reuse.

  4. List of Java frameworks - Wikipedia

    en.wikipedia.org/wiki/List_of_Java_frameworks

    The Java Collections Framework (JCF) is a set of classes and interfaces that implement commonly reusable collection data structures. Java Media Framework: The Java Media Framework (JMF) is a Java library that enables audio, video and other time-based media to be added to Java applications and applets. Java Topology suite

  5. Spring Framework - Wikipedia

    en.wikipedia.org/wiki/Spring_Framework

    Notable improvements in Spring 4.0 included support for Java SE (Standard Edition) 8, Groovy 2, [11] [12] some aspects of Java EE 7, and WebSocket. [ 13 ] Spring Framework 4.2.0 was released on 31 July 2015 and was immediately upgraded to version 4.2.1, which was released on 01 Sept 2015. [ 14 ]

  6. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    It can ingest data from offline data sources (such as Hadoop and flat files) as well as online sources (such as Kafka). Pinot is designed to scale horizontally. Mondrian OLAP server is an open-source OLAP server written in Java. It supports the MDX query language, the XML for Analysis and the olap4j interface specifications.

  7. Publish–subscribe pattern - Wikipedia

    en.wikipedia.org/wiki/Publish–subscribe_pattern

    The pub/sub pattern scales well for small networks with a small number of publisher and subscriber nodes and low message volume. However, as the number of nodes and messages grows, the likelihood of instabilities increases, limiting the maximum scalability of a pub/sub network. Example throughput instabilities at large scales include:

  8. Mediator pattern - Wikipedia

    en.wikipedia.org/wiki/Mediator_pattern

    In the following example, a Mediator object controls the values of several Storage objects, forcing the user code to access the stored values through the mediator. When a storage object wants to emit an event indicating that its value has changed, it also goes back to the mediator object (via the method notifyObservers ) that controls the list ...

  9. Message broker - Wikipedia

    en.wikipedia.org/wiki/Message_broker

    Sequence diagram for depicting the Message Broker pattern. A message broker (also known as an integration broker or interface engine [1]) is an intermediary computer program module that translates a message from the formal messaging protocol of the sender to the formal messaging protocol of the receiver.